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71
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stringclasses 6
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stringclasses 129
values | country_name
stringclasses 129
values | gender
stringclasses 2
values | split
stringclasses 1
value |
|---|---|---|---|---|---|---|
55612
| 17
|
10s
|
DE
|
Germany
|
male
|
train
|
65859
| 19
|
10s
|
LT
|
Lithuania
|
male
|
train
|
93554
| 20
|
20s
|
US
|
United States
|
female
|
train
|
20281
| 24
|
20s
|
TR
|
Turkey
|
female
|
train
|
50684
| 17
|
10s
|
UK
|
United Kingdom
|
male
|
train
|
47509
| 22
|
20s
|
IR
|
Iran
|
male
|
train
|
12353
| 33
|
30s
|
DE
|
Germany
|
male
|
train
|
4560
| 24
|
20s
|
SE
|
Sweden
|
female
|
train
|
25129
| 21
|
20s
|
DK
|
Denmark
|
male
|
train
|
258
| 31
|
30s
|
US
|
United States
|
female
|
train
|
32778
| 21
|
20s
|
BR
|
Brazil
|
male
|
train
|
8534
| 23
|
20s
|
AU
|
Australia
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male
|
train
|
43781
| 17
|
10s
|
PL
|
Poland
|
male
|
train
|
15912
| 20
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20s
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NO
|
Norway
|
male
|
train
|
3413
| 25
|
20s
|
US
|
United States
|
female
|
train
|
17555
| 23
|
20s
|
PL
|
Poland
|
male
|
train
|
5706
| 29
|
20s
|
CL
|
Chile
|
male
|
train
|
24637
| 28
|
20s
|
PT
|
Portugal
|
male
|
train
|
1951
| 34
|
30s
|
US
|
United States
|
male
|
train
|
38131
| 24
|
20s
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PE
|
Peru
|
male
|
train
|
2176
| 27
|
20s
|
US
|
United States
|
male
|
train
|
1017
| 28
|
20s
|
SE
|
Sweden
|
male
|
train
|
27776
| 41
|
40s
|
LT
|
Lithuania
|
male
|
train
|
61823
| 19
|
10s
|
IT
|
Italy
|
male
|
train
|
49072
| 21
|
20s
|
BY
|
Belarus
|
male
|
train
|
50551
| 16
|
10s
|
HR
|
Croatia
|
female
|
train
|
10976
| 25
|
20s
|
RU
|
Russia
|
male
|
train
|
68418
| 21
|
20s
|
US
|
United States
|
female
|
train
|
10788
| 44
|
40s
|
UK
|
United Kingdom
|
male
|
train
|
4673
| 24
|
20s
|
US
|
United States
|
male
|
train
|
120057
| 18
|
10s
|
VN
|
Vietnam
|
male
|
train
|
19000
| 21
|
20s
|
SE
|
Sweden
|
female
|
train
|
57714
| 16
|
10s
|
PL
|
Poland
|
male
|
train
|
39734
| 19
|
10s
|
BR
|
Brazil
|
female
|
train
|
3906
| 29
|
20s
|
US
|
United States
|
female
|
train
|
41384
| 21
|
20s
|
ID
|
Indonesia
|
female
|
train
|
27755
| 18
|
10s
|
BR
|
Brazil
|
female
|
train
|
54572
| 23
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
3495
| 26
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
32226
| 52
|
50s
|
SE
|
Sweden
|
male
|
train
|
53958
| 19
|
10s
|
RU
|
Russia
|
male
|
train
|
47728
| 18
|
10s
|
AU
|
Australia
|
male
|
train
|
5648
| 35
|
30s
|
US
|
United States
|
male
|
train
|
70390
| 18
|
10s
|
UM
|
U.S. Minor Outlying Islands
|
male
|
train
|
20362
| 34
|
30s
|
ES
|
Spain
|
male
|
train
|
18155
| 26
|
20s
|
RU
|
Russia
|
female
|
train
|
1826
| 22
|
20s
|
US
|
United States
|
male
|
train
|
9758
| 27
|
20s
|
CH
|
Switzerland
|
male
|
train
|
49842
| 24
|
20s
|
BR
|
Brazil
|
male
|
train
|
75712
| 25
|
20s
|
NL
|
Netherlands
|
female
|
train
|
46177
| 21
|
20s
|
US
|
United States
|
male
|
train
|
2315
| 27
|
20s
|
DE
|
Germany
|
male
|
train
|
2216
| 39
|
30s
|
US
|
United States
|
male
|
train
|
12591
| 28
|
20s
|
AU
|
Australia
|
male
|
train
|
58415
| 17
|
10s
|
UA
|
Ukraine
|
male
|
train
|
29543
| 23
|
20s
|
US
|
United States
|
male
|
train
|
22761
| 22
|
20s
|
BR
|
Brazil
|
male
|
train
|
8698
| 20
|
20s
|
US
|
United States
|
male
|
train
|
71942
| 19
|
10s
|
AR
|
Argentina
|
male
|
train
|
29804
| 26
|
20s
|
BE
|
Belgium
|
male
|
train
|
64331
| 16
|
10s
|
BR
|
Brazil
|
male
|
train
|
6104
| 28
|
20s
|
US
|
United States
|
male
|
train
|
8172
| 21
|
20s
|
SK
|
Slovakia
|
female
|
train
|
9618
| 33
|
30s
|
ES
|
Spain
|
male
|
train
|
87791
| 46
|
40s
|
NO
|
Norway
|
male
|
train
|
46044
| 20
|
20s
|
PL
|
Poland
|
female
|
train
|
89252
| 21
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
16241
| 19
|
10s
|
UA
|
Ukraine
|
male
|
train
|
15520
| 23
|
20s
|
DE
|
Germany
|
male
|
train
|
5838
| 24
|
20s
|
UA
|
Ukraine
|
female
|
train
|
27844
| 21
|
20s
|
US
|
United States
|
male
|
train
|
8582
| 24
|
20s
|
BR
|
Brazil
|
male
|
train
|
2218
| 25
|
20s
|
US
|
United States
|
female
|
train
|
4915
| 33
|
30s
|
ES
|
Spain
|
male
|
train
|
1686
| 27
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
14094
| 26
|
20s
|
DE
|
Germany
|
female
|
train
|
30394
| 22
|
20s
|
BR
|
Brazil
|
male
|
train
|
22432
| 20
|
20s
|
AT
|
Austria
|
male
|
train
|
54270
| 18
|
10s
|
BR
|
Brazil
|
female
|
train
|
26711
| 28
|
20s
|
PL
|
Poland
|
male
|
train
|
29039
| 25
|
20s
|
US
|
United States
|
male
|
train
|
72967
| 24
|
20s
|
BR
|
Brazil
|
male
|
train
|
56072
| 19
|
10s
|
NL
|
Netherlands
|
male
|
train
|
49679
| 30
|
30s
|
JP
|
Japan
|
male
|
train
|
2119
| 25
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
11259
| 22
|
20s
|
HR
|
Croatia
|
female
|
train
|
19442
| 26
|
20s
|
NL
|
Netherlands
|
female
|
train
|
5918
| 24
|
20s
|
US
|
United States
|
female
|
train
|
7699
| 32
|
30s
|
NL
|
Netherlands
|
male
|
train
|
51543
| 20
|
20s
|
NL
|
Netherlands
|
male
|
train
|
31098
| 20
|
20s
|
PL
|
Poland
|
male
|
train
|
63235
| 18
|
10s
|
RU
|
Russia
|
female
|
train
|
11997
| 25
|
20s
|
US
|
United States
|
male
|
train
|
72343
| 22
|
20s
|
CR
|
Costa Rica
|
male
|
train
|
7797
| 22
|
20s
|
DE
|
Germany
|
male
|
train
|
7838
| 25
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
12076
| 31
|
30s
|
FR
|
France
|
male
|
train
|
35901
| 20
|
20s
|
BR
|
Brazil
|
male
|
train
|
53884
| 22
|
20s
|
BR
|
Brazil
|
male
|
train
|
27396
| 26
|
20s
|
CL
|
Chile
|
male
|
train
|
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